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Proceedings Paper

Dynamic laser speckle: decision models with computational intelligence techniques
Author(s): Marcelo Guzman; Gustavo J. Meschino; Ana L. Dai Pra; Marcelo Trivi; Lucía I. Passoni; Héctor Rabal
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Paper Abstract

This paper proposes the design of decision models with Computational Intelligence techniques using image sequences of dynamic laser speckle. These models aim to characterize the dynamic of the process evaluated through Temporal History Speckle Patterns (THSP) using a set of available descriptors. The models use those sets selected to improve its effectiveness, depending on the specific application. The techniques of computational intelligence field include using Artificial Neural Networks, Fuzzy Granular Computation, Evolutionary Computation elements such as Genetic Algorithms, among others. The results obtained in experiments such as the evaluation of bacterial chemotaxis, and the estimation of the drying time of coatings are encouraging and significantly improve those obtained using a single descriptor.

Paper Details

Date Published: 13 September 2010
PDF: 8 pages
Proc. SPIE 7387, Speckle 2010: Optical Metrology, 738717 (13 September 2010); doi: 10.1117/12.870688
Show Author Affiliations
Marcelo Guzman, Univ. Nacional de Mar del Plata (Argentina)
Gustavo J. Meschino, Univ. Nacional de Mar del Plata (Argentina)
Ana L. Dai Pra, Univ. Nacional de Mar del Plata (Argentina)
Marcelo Trivi, CONICET La Plata-CIC, Univ. Nacional de La Plata (Argentina)
Lucía I. Passoni, Univ. Nacional de Mar del Plata (Argentina)
Héctor Rabal, CONICET La Plata-CIC, Univ. Nacional de La Plata (Argentina)

Published in SPIE Proceedings Vol. 7387:
Speckle 2010: Optical Metrology
Armando Albertazzi Goncalves Jr.; Guillermo H. Kaufmann, Editor(s)

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